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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 3915
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    Explanations

    sequences of numbers followed by special characters

    oai_token-act-pair · gpt-3.5-turbo

    specific symbols or characters in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CLSID
    -0.84
    nesota
    -0.84
    ammy
    -0.81
    artments
    -0.80
    versions
    -0.74
    pocket
    -0.73
     Soph
    -0.72
    ebus
    -0.71
    ession
    -0.70
    isters
    -0.69
    POSITIVE LOGITS
    ²
    1.37
    ³
    1.23
    ¹
    1.01
    ¢
    0.99
    ¡
    0.99
    ł
    0.98
    ãĥ¼ãĥ
    0.97
    ãĤ§
    0.96
    ´
    0.95
    º
    0.94
    Activations Density 0.005%

    No Known Activations